Jun 2025 – Aug 2025 · Personal Project
A Python-based migration accelerator with a UI-driven interface, eliminating the need for APEX coding or ETL tool configuration. Built to address the key pain points in traditional Salesforce CRM migrations that slow down projects and elevate risk.
The app transforms migration from a manual, error-prone process into a streamlined, automated workflow — enabling teams to get started in minutes with best-practice configurations, regardless of their ETL tool expertise.
Traditional Salesforce CRM migrations suffer from four key pain points:
| Activity | Traditional Effort | With Accelerator | Automation | Saving |
|---|---|---|---|---|
| Architecture Setup (Base Parameter Tables) | 8 hours | ~5 mins | 100% | 8 hrs saved |
| Salesforce Metadata Extract | 1 hour | ~1 min | 100% | 1 hr saved |
| Pre-Validation Queries | 80 hours | ~16 hrs | 80% | 64 hrs saved |
| DQ2 to Landing Stored Procs | 80 hours | ~16 hrs | 80% | 64 hrs saved |
| Landing to Load Stored Procs | 80 hours | ~0 hrs | 100% | 80 hrs saved |
| Data Extraction (ETL Pipelines) | 40 hours | ~10 mins | 100% | 40 hrs saved |
| Normal Picklist Refresh | 6 hours | 10 mins | 100% | 6 hrs saved |
| Dependent Picklist Refresh | 1 hour | 10 mins | 100% | 1 hr saved |
| Data Deletion | 16 hours | 16 hrs (auto-reprocessing) | 100% | Manual effort eliminated |
| Total | 257 hours | ~41 hours | ~84% | ~216 hrs saved |
* Based on 15 objects (8 High, 5 Medium, 2 Low complexity). Cost benefit of $24,300 calculated on a 4-person team at $45/hr blended rate.
Automates up to 80% of Salesforce architecture setup including base parameter tables and metadata extraction. Teams get started in minutes with best-practice configurations.
Parallel extraction and deletion via BulkV2 API cuts timelines by 2x. Robust auto-reprocessing and fallback mechanisms handle challenging data scenarios without manual intervention.
Entirely UI-based — no APEX coding or ETL tool configuration required. Python implementation eliminates API session issues and supports rapid onboarding for any team member.
Automatic mapping of object and field API names using Describe() calls, fuzzy matching, and case sensitivity validation. Reduces manual mapping errors significantly.
Automated pre-validation queries and Excel-based error reports highlight data quality issues early. QA automation for source-to-crosswalk table comparisons reduces QA cycle times.
Saves database and Salesforce org credentials as reusable login profiles, eliminating repetitive credential entry across sessions and environments.
Enriches API mapping sheets with metadata and audit trail columns. Supports IMR and Data Dictionary-based mapping for structured, traceable migrations.
Scope-controlled picklist refresh via API mapping eliminates inefficient org-wide queries. Dependent picklist refresh reduced from 1 hour to 10 minutes with a single click.
Additional database support planned in future roadmap.
10 core features complete · 5 features in future state
Completed
Planned